"The Working with Administrative Data was one of the courses that provided me with the greatest benefits. As I was completing the PHDA 01 course, my workplace, the New Brunswick Institute for Research Data and Training, was just receiving its first health data set. Having had the opportunity to use BC’s administrative datasets such as the Discharge Abstract Database (DAD) provided me with a first glance at what our provincial data would look like, and how I could manipulate and analyze them."
Prior to coming to Canada, I had worked in the area of math and statistics. When I moved to Canada I pursued work in Data Management and then became particularly interested in the field of data analytics for health services. As a result, I searched online for a related program in this area and found information on the PHDA program. I had taken previous training courses in business and data analytics so the PHDA program seemed like a perfect way to expand my knowledge and skills within the field of population health.
The Working with Administrative Data (PHDA 01) course was a perfect course for me. It gave me a good introduction to the field of Population Health and provided a good refresher for my SAS skills.
The Epidemiological Statistics (PHDA 02) course was a fair bit of review for me as I have a strong statistical background. As a result, the health specific focus of the course and related terminology provided the greatest value to me.
The Population Health and GIS (PHDA 03) course was the most interesting but also the hardest course I took due to the project work and data management skills that were involved.
As I am now working in the healthcare field, I feel the health terminology and related analytic work I completed in the program have been helpful in my current workplace. In particular, I am using some of these skills in my reporting projects. Within the next couple of years I also expect that my work will be incorporating more geospatial skills so the foundation skills I have learned in this area will also be beneficial.
I feel this is a very unique program that combines the use of data analytics, statistical software and focused learning objectives related to the field of health. I also appreciated the fact that it was a fully online program with well-organized lectures, readings and remotely accessed lab work in health data analytics.
Yes, I would definitely recommend the program to others.
Overall the program was very helpful to my knowledge and skill development in the field of healthcare analytics. The program exceeded my expectations particularly because of the remotely accessed data analytic lab work that was more challenging than I anticipated. This work was very practical and very much oriented to real life case examples. The calibre of students in my courses was also very high as most were working professionals who brought valuable experience and knowledge to the discussion forums and project work.
"I was browsing for some relevant programs that would complement my current job as an epidemiologist. The PHDA courses looked good, particularly the GIS ones which I wanted to learn as it hadn’t been part of my education up to that point. The coursework was comprehensive but not too time consuming. The GIS courses were fantastic and provided great information. I liked the method of instruction – videos that walked you through the steps of an assignment accompanied by PDF’s, which I thought helped me learn efficiently."
"Epidemiological Statistics was a great refresher for advanced statistics using sample data sets and applied examples. It was a very useful and informative course."
"The flexibility of timing due to the entirely online nature of the program stood out to me. I could work on things when I had the time, which I think is a great feature for people who are generally working full time. I also liked the mix of discussion and individual assignments in the courses; getting to hear others’ opinions and experiences was very useful."
University of British Columbia, 201-2206 East Mall, Vancouver BC V6T 1Z3
Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
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